资源与产业 ›› 2016, Vol. 18 ›› Issue (6): 21-26.DOI: 10.13776/j.cnki.resourcesindustries.20161223.001

• 资源管理 • 上一篇    下一篇

资源环境承载力研究框架体系综述

安海忠,李华姣   

  1. (1中国地质大学 人文经管学院,北京 100083;2国土资源部资源环境承载力评价重点实验室,北京 100083;3国土资源人才评价开放实验室,北京 100083)
  • 收稿日期:2016-11-02 修回日期:2016-11-03 出版日期:2017-01-05 发布日期:2017-01-10
  • 基金资助:
    国家自然科学基金(71173199)。

RESEARCH FRAMEWORK OF RESOURCES AND ENVIRONMENT CARRYING CAPACITY

AN Hai-zhong, LI Hua-jiao   

  1. (1.School of Humanities and Economic Management, China University of Geosciences, Beijing 100083, China;2.Key Laboratory of Carrying Capacity Assessment for Resources and Environment, MLR, Beijing 100083, China;3.Open Lab of Talents Evaluation, MLR, Beijing 100083, China)
  • Received:2016-11-02 Revised:2016-11-03 Online:2017-01-05 Published:2017-01-10

摘要: 在全球“低碳革命”、“页岩气革命”、“新能源革命”的时代背景下,如何分析、评价、监控一国或某一个区域的资源环境承载力成为区域社会经济发展新的课题。文章在梳理资源环境承载力研究现状的基础上,提出了以理论为基础,以方法和数据为支撑,以应用为导向的,集理论、方法、数据、应用“四位一体”的资源环境承载力研究框架体系。其中,在理论层面,提出了“以资源为支撑,以生态环境为约束,以社会和经济的正常运行和可持续发展为目标的资源环境承载力研究理论体系”;在方法层面,提出了“从定性到定量,从单一到综合,从静态到动态的资源环境承载力研究方法体系”;在数据层面,提出了包含统计年鉴数据、空间遥感数据、实地观测数据和调研数据、高频时间序列数据、仿真模拟数据、文本灰色数据等6个层次的资源环境承载力多源异构数据体系;在应用方面,提出了基于理论、方法、数据的“动态监测、分析评价、风险预警、政策模拟、决策支持”5个维度的应用研究体系。该研究所提出的“资源环境承载力研究框架体系”为资源型承载力的深入研究提供了必要的研究基础和系统的思路框架。

关键词: 资源环境承载力, 理论方法, 数据应用, 框架体系

Abstract: The global low carbon revolution, shale gas revolution and new energy revolution requires how to analyze, evaluate and monitor one nation’s, or one region’s resources and environment carrying capacity. This paper, based on the research advances, presents a four-in-one resources and environment carrying capacity research framework of theory, method, data and application. The theory incorporates resources as support, eco-environment as constraint, sustainability as objective. The method is from qualitative to quantitative, from single to comprehensive, from static to dynamic. The data includes annual statistics, remote sensing, on site surveyed, temporal series, simulation, and text gray data. The application covers dynamic monitoring, analysis, risk alerting, policy modeling, and decision support. This study provides a necessary research basis and path for further studying resources and environment carrying capacity.

Key words: resources and environment carrying capacity, theoretical method, data application, framework

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